R Programming for Complete Data Science and Machine Learning
R Programming including Supervised and Unsupervised Machine Learning Algorithms.
4.75 (4 reviews)
118
students
10 hours
content
Jun 2023
last update
$19.99
regular price
What you will learn
Understanding R programming and Why R Important.
Variable, Literal and Different types of Operator in R Programming Language.
Understanding Data Structure eg: Atomic vector, List Array, Matrices, Data Frame, Factors with all Operations in R Programming Language.
Practical work on Control structures (if statements / Family), Switch statements, Loops (For, while, repeat) Jump Statements and with Functions and its types
Live work on Data Visualization all types (which professionally used) including the Advance Data Visualization using ggplot2 R package.
Understand Machine Learning and types of it.
Making clear picture on Data and types of quantitative and qualitative data and Data set.
Work on regression and its types Linear Regression, Multiple Linear Regression, Polynomial Regression and Support Vector Regression.
Work on Classification and its types Logistic Regression Support Vector Classification K Nearest Neighbors.
Work on Clustering and its types Hierarchical Clustering and K Means Clustering.
Work on Assoication and its types Apriori Eclat and F-P Growth Algorithm.
A Great working environment waiting for for to get start your career in R Statistical Machine Learning Project.
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4283640
udemy ID
9/6/2021
course created date
9/14/2021
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